You want to learn Machine Learning and Deep Learning with Python, Scikit-Learn, Tenserflow…and you don’t know how to start? You don’t need a big boring and expensive textbook. This book is the best one for everyone.

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Why this book is the best one for data scientist?

Here are the reasons:The author has explored everything about machine learning and deep learning right from the basics.

A simple language has been used.

Many examples have been given, both theoretically and programmatically.

Screenshots showing program outputs have been added.

The book is written chronologically, in a step-by-step manner.

Book Objectives:

The Aims and Objectives of the Book:

To help you understand the basics of machine learning and deep learning.

Understand the various categoriesof machine learning algorithms.

To help you understand how different machine learning algorithms work.

You will learn how to implement various machine learning algorithms programmatically in Python.

To help you learn how to use Scikit-Learn and TensorFlow Libraries in Python.

To help you know how to analyze data programmatically to extract patterns, trends, and relationships between variables.

Who this Book is for?

Here are the target readers for this book:

Anybody who is a complete beginner to machine learning in Python.

Anybody who needs to advance their programming skills in Python for machine learning programming and deep learning.

Professionals in data science.

Professors, lecturers or tutors who are looking to find better ways to explain machine learning to their students in the simplest and easiest way.

Students and academicians, especially those focusing on neural networks, machine learning, and deep learning.

What do you need for this Book?

You are required to have installed the following on your computer:

Python 3.X

Numpy

Pandas

Matplotlib

The Author guides you on how to install the rest of the Python libraries that are required for machine learning and deep learning.

What is inside the book:

Getting Started

Environment Setup

Using Scikit-Learn

Linear Regression with Scikit-Learn

k-Nearest Neighbors Algorithm

K-Means Clustering

Support Vector Machines

Neural Networks with Scikit-learn

Random Forest Algorithm

Using TensorFlow

Recurrent Neural Networks with TensorFlow

Linear Classifier

This book will teach you machine learning classifiers using scikit-learn and tenserflow . The book provides a great overview of functions you can use to build a support vector machine, decision tree, perceptron, and k-nearest neighbors. Thanks of this book you will be able to set up a learning pipeline that handles input and output data, pre-processes it, selects meaningful features, and applies a classifier on it. This book offers a lot of insight into machine learning for both beginners, as well as for professionals, who already use some machine learning techniques. Concepts and the background of these concepts are explained clearly in this tutorial.

Introduction to Blockchain is written for everyday people like you. It is written in Plain English and uses analogies that help you understand what Blockchain really is, how does it work and global uses cases of it. By the end of this book, you will have enough knowledge to talk to anyone on this subject or understand what others are saying.

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This great eBook will give you an overview of affiliate marketing. You will see what affiliate marketing is all about and whether you believe it is the right thing for you to start doing. It is a quick guide to affiliate marketing and doesn’t go into a lot of depth. However, it does touch on many aspects of affiliate marketing so you will have a good general understanding of what it is and how to do it. Therefore, go ahead and read this free eBook. Then, take a look at the more in-depth book Affiliate Marketing Expert by Spencer Coffman so you can really get an idea of how to become an affiliate marketer.

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Affiliate marketing is a kind of marketing system whereby one party (affiliate/publisher) promotes a product of another party (merchant/product creator) through an intermediary (affiliate network/platform) for a reward.

Affiliate marketing is a multi-billion dollar enterprise. In US alone, Affiliate Marketing is worth almost $7 billion and continues to experience a double digit compound growth. This is such a huge pie that is waiting for you to take a bite. This book is just about that – helping you get a sizeable bite of this pie by relying on your blogging to generate passive income thus turning your hobby into a full-time business – of biting the pie.

Despite Affiliate Marketing having existed for several decades, many people are yet to fathom what it is all about. This books starts off by introducing you to the basics of Affiliate Marketing so that you are well-grounded for a solid take-off.

This is the official Amazon Web Services (AWS) documentation for AWS Secrets Manager. AWS Secrets Manager is a an AWS service that enables you to manage secrets such as database passwords and third-party API keys that you use to access AWS, on-premise, and third-party resources. With AWS Secrets Manager you can replace hard-coded plain text secrets into your applications, with a call to Secrets Manager. AWS Secrets Manager supports automatic rotation and expiration of old versions of secrets. This documentation is provided free here as a Kindle book, or you can read it in PDF format at https://docs.aws.amazon.com/secretsmanager.

This is official Amazon Web Services (AWS) documentation for the Linux bastion Quick Start. This Quick Start adds Linux bastion hosts to your new or existing AWS infrastructure for your Linux-based deployments. After you deploy this Quick Start, you can layer your cloud environment with additional AWS services, infrastructure components, and applications to complete your Linux environment in the AWS Cloud. The bastion hosts provide secure access to Linux instances located in the private and public subnets of your VPC. The Quick Start architecture deploys Linux bastion host instances into the public subnets to provide readily available administrative access to the environment. The Quick Start creates an Auto Scaling group to ensure that the number of bastion host instances always matches the capacity you specify. The Quick Start also sets up Amazon CloudWatch Logs for remote storage of shell history logs, for added security. AWS CloudFormation templates automate the deployment. The deployment guide is offered here as a free Kindle book, or you can read it online or in PDF format; see https://aws.amazon.com/quickstart/architecture/linux-bastion/.

A Practical Guide to TPM 2.0: Using the Trusted Platform Module in the New Age of Security is a straight-forward primer for developers. It shows security and TPM concepts, demonstrating their use in real applications that the reader can try out.

Simply put, this book is designed to empower and excite the programming community to go out and do cool things with the TPM. The approach is to ramp the reader up quickly and keep their interest.A Practical Guide to TPM 2.0: Using the Trusted Platform Module in the New Age of Security explains security concepts, describes the TPM 2.0 architecture, and provides code and pseudo-code examples in parallel, from very simple concepts and code to highly complex concepts and pseudo-code.

The book includes instructions for the available execution environments and real code examples to get readers up and talking to the TPM quickly. The authors then help the users expand on that with pseudo-code descriptions of useful applications using the TPM.